• DocumentCode
    3418425
  • Title

    An equilibrium analysis of R&D decision-making in defense procurement with cost-reimbursement based on quotas under incomplete information

  • Author

    Tang, Yifang ; Liu, Changchen ; Wang, Taosheng

  • Author_Institution
    Instn. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    612
  • Lastpage
    615
  • Abstract
    In defense procurement R&D investment, the fruit of R&D is greatly affected by the investment strategy profile of manufacturers. In this paper, we studies the investment equilibrium with cost-reimbursement based on quotas and analyzes the Impact of incomplete information on equilibrium of R&D decision-making. The results show that in defense procurement R&D, when R&D investment reimbursement rule is cost-reimbursement based on quotas and manufacturers´ valuation on monopoly contract of defense production is incomplete information, manufacturers´ investment equilibrium will deviate from the expected investment equilibrium of government, and what´s worse is that manufacturers may retreat from the “design contest” of defense procurement R&D. The results mean that incomplete information will affect the effect of government´s reimbursement rule, which means cost-reimbursement based on quotas can not overcome the disadvantages of proportional-reimbursement.
  • Keywords
    contracts; costing; decision making; defence industry; information management; investment; monopoly; procurement; research and development; strategic planning; R and D decision making; cost reimbursement; defense procurement; defense production; government investment equilibrium; government reimbursement rule; incomplete information; investment strategy profile; monopoly contract; proportional reimbursement disadvantages; quotas; Contracts; Cost accounting; Government; Investments; Monopoly; Procurement; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-61284-374-2
  • Type

    conf

  • DOI
    10.1109/IWACI.2011.6160081
  • Filename
    6160081